Fr. 160.00

Data and Analytics Strategy for Business - Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

English · Hardback

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Description

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Design and implement a results-driven data strategy with this five-stage guide to leveraging existing business assets and creating value through data projects.

List of contents










Section - ONE: How data and analytics can help you grow your business; Chapter - 01: How can this book help you?; Chapter - 02: The business case for data; Chapter - 03: Your data and analytics strategy; Chapter - 04: A team game; Section - TWO: Wave 1 - Aspire; Chapter - 05: A quick win; Chapter - 06: Repeat and learn; Section - THREE: Wave 2 - Mature; Chapter - 07: Data governance; Chapter - 08: Data quality; Chapter - 09: A single customer view; Chapter - 10: Reports and dashboards; Chapter - 11: Data risk management and ethics; Section - PART FOUR: Wave 3 - Industrialize; Chapter - 12: Automation, automation, automation; Chapter - 13: Scaling up and scaling out; Chapter - 14: Optimizing; Section - PART FIVE: Wave 4 - Realize; Chapter - 15: The voice of the customer; Chapter - 16: Maximizing data science; Chapter - 17: Sharing data with suppliers and customers; Section - PART SIX: Wave 5 - Differentiate; Chapter - 18: From data-driven to AI-driven; Chapter - 19: Data products; Chapter - 20: Right leadership, right time; Chapter - 21: Epilogue - Data success

About the author

Simon Asplen-Taylor is the founder and CEO of VALSTR, a leading data, analytics and AI consultancy. He was the UK's first Chief Data Officer (CDO) and previously served as CDO for multiple FTSE firms including Bupa and led some of the largest data-led transformations in Europe. He is a Fellow of the Royal Statistical Society and serves on their AI Taskforce. In 2023, CEO Magazine named him Most Influential Data Analytics CEO and in 2025, he was awarded a Top 100 Influential People award. He is based in London, UK.

Product details

Authors Simon Asplen-Taylor
Publisher Kogan Page
 
Languages English
Product format Hardback
Released 03.06.2022
 
EAN 9781398606074
ISBN 978-1-3986-0607-4
No. of pages 328
Dimensions 162 mm x 240 mm x 28 mm
Weight 480 g
Subjects Social sciences, law, business > Business > Management

BUSINESS & ECONOMICS / Strategic Planning, business strategy, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / Data Analytics

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